diff options
Diffstat (limited to 'tensorflow/python/training/optimizer_test.py')
| -rw-r--r-- | tensorflow/python/training/optimizer_test.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tensorflow/python/training/optimizer_test.py b/tensorflow/python/training/optimizer_test.py index dfe9176bea..7a7d01d50e 100644 --- a/tensorflow/python/training/optimizer_test.py +++ b/tensorflow/python/training/optimizer_test.py @@ -64,7 +64,7 @@ class OptimizerTest(test.TestCase): def testAggregationMethod(self): for dtype in [dtypes.half, dtypes.float32, dtypes.float64]: - with self.test_session(): + with self.cached_session(): var0 = variables.Variable([1.0, 2.0], dtype=dtype) var1 = variables.Variable([3.0, 4.0], dtype=dtype) cost = 5 * var0 + 3 * var1 @@ -89,7 +89,7 @@ class OptimizerTest(test.TestCase): def testPrecomputedGradient(self): for dtype in [dtypes.half, dtypes.float32, dtypes.float64]: - with self.test_session(): + with self.cached_session(): var0 = variables.Variable([1.0, 2.0], dtype=dtype) var1 = variables.Variable([3.0, 4.0], dtype=dtype) cost = 5 * var0 + 3 * var1 @@ -231,7 +231,7 @@ class OptimizerTest(test.TestCase): sgd_op.apply_gradients(grads_and_vars) def testTrainOp(self): - with self.test_session(): + with self.cached_session(): var0 = variables.Variable([1.0, 2.0]) var1 = variables.Variable([3.0, 4.0]) cost = 5 * var0 + 3 * var1 @@ -244,7 +244,7 @@ class OptimizerTest(test.TestCase): def testConstraint(self): constraint_01 = lambda x: clip_ops.clip_by_value(x, -0.1, 0.) constraint_0 = lambda x: clip_ops.clip_by_value(x, 0., 1.) - with self.test_session(): + with self.cached_session(): var0 = variables.Variable([1.0, 2.0], constraint=constraint_01) var1 = variables.Variable([3.0, 4.0], |